摘要
渔业声学数据解析是渔业资源声学调查研究和应用的关键所在。目前全球渔业声学数据后处理的代表性软件主要有挪威Sonar5-Pro和澳大利亚Echoview。以Sonar5-Pro为例,开展了5个方面的研究:1)回顾了该软件自1994年以来近30年的发展历史;2)介绍了软件对声学数据进行处理的总体思路,即前处理、数据分析和结果展示3个步骤及贯穿始终的数据检视功能,以及软件的5项重要设计理念;3)介绍了该软件9项代表性功能特性的实现思路和具体方法;4)以主流分析应用鱼类生物量分析过程为例,介绍了软件的数据处理流程;5)对该软件的3项核心关键技术,即多目标跟踪(multiple target tracking)、交叉过滤跟踪(crossfilter tracker)和图像分析工具(image analysis)进行了详细介绍。研究发现,一个成熟的渔业声学数据后处理系统庞大而复杂,涉及渔业、物理学和计算机多学科知识的融合,着力加强相关领域交叉学科人才培养,充分借鉴吸收国外已有先进理念和成熟技术,基于各种应用场景需求研发具有自主知识产权的分析软件,采用引进消化吸收再逐点突破最终集成创新的方式,可以作为未来提升中国渔业声学数据解析能力和水平的重要发展途径。
Interpretation of acoustic data is the key content of fisheries acoustic study.At present,the representative acoustic data post-processing software in the world mainly includes Sonar5-Pro(Norway)and Echoview(Australia).This paper takes Sonar5-Pro as an example and conducts research in five aspects:1)The 30 years history of the software since 1994.2)The designed workflow:a:pre-analysis,b:analysis and c:interpretation,with data insight occurring in the whole workflow,and five principles used in the software design.3)Nine analysis categories in the software and their implemented methods.4)General data processing procedures based on the study of vertical mobile survey.5)Three key technical features,including multiple target tracking(MTT),cross filter tracker(CFT)and image analysis.This study finds that a mature fishery sonar data post-processing system is large and complex,involving the fusion of multidisciplinary knowledge,including fisheries,physics,and computers.We should focus on strengthening the training of interdisciplinary talents in related fields,and fully understand and learn from advanced concepts and mature technologies.Moreover,based on the needs of various application scenarios,measures should be taken to strongly support the development of data processing software with independent intellectual property rights.The method of introducing,digesting and absorbing,then breaking through point by point and finally integrating innovation can be used as an important development approach to improve the ability and level of acoustic data analysis of China in the future.
作者
张辉
ZHANG Hui(Yangtze River Fisheries Research Institute,Chinese Academy of Fishery Sciences,Key Laboratory of Freshwater Biodiversity Conservation,Ministry of Agriculture and Rural Affairs,Wuhan Hubei 430223,China)
出处
《渔业信息与战略》
2024年第1期29-38,共10页
Fishery Information & Strategy
基金
湖北省自然科学基金杰出青年项目“极危中华鲟自然繁殖群体时空格局变动及环境驱动机制”(2022CFA058)
国家留学基金委2012年公派“访问学者”项目(201203260035)。
